At a Glance
- Tasks: Lead innovative data science projects to revolutionise drug discovery at scale.
- Company: Join Recursion, a pioneering TechBio company transforming medicine through technology.
- Benefits: Enjoy competitive salary, peer support, and opportunities for professional growth.
- Other info: Dynamic team culture with high expectations and a focus on learning and collaboration.
- Why this job: Make a real impact in healthcare by applying your data science skills in a collaborative environment.
- Qualifications: 3-5+ years in data science, strong Python skills, and experience in biosciences preferred.
The predicted salary is between 70000 - 90000 £ per year.
We are an application-oriented group whose goal is to discover drugs at scale, using the toolkit of computational science in collaboration with our counterparts in other engineering (software and data engineering, laboratory automation), scientific (biology, chemistry, clinical science), and operational (laboratory operations, regulatory affairs) disciplines. We are value-driving - data science at Recursion is not just an accelerating function; it is a core part of our value proposition. As data scientists, we are responsible for showing up as leaders and visionaries, helping to shape how Recursion delivers on our mission. We work on what matters and deliver in timescales of weeks not quarters. We focus on the impact that we are trying to make and the “why” of what we are trying to deliver and are resilient if the “how” of what we are doing needs to change.
The Experience You’ll Need
- 3-5+ years practical experience applying probability, statistics, and machine learning to real-world datasets in service of academic or business applications and recommendations.
- Strong preference for experience in the field of biosciences (particularly pharmaceuticals) or working on projects that require regular cross-disciplinary collaboration.
- Experience working within a fast-paced interdisciplinary team to solve business-relevant problems and communicating complex concepts and methods to audiences with diverse technical backgrounds.
- High fluency with the Python data stack (numpy, pandas, scikit-learn, etc).
- Experience in collaborative data product development and peer code review, including version control tools like git.
- Experience developing, releasing, and maintaining data products in a continuous-use production environment.
- Nice to have: experience in creating compelling visualizations of high-dimensional data that enable clear decision-making and interpretation, prompt engineering for LLMs, cheminformatics, OR analysis of RNA sequencing data.
How You’ll be Supported
- You will be assigned a peer trail guide to support you as you onboard and get familiar with Recursion systems.
- Receive real-time feedback on code quality and best practices from a team of peers.
- Ability to participate and learn from your colleagues in our regular all-hands, journal club & tech talks for Data Science.
- Option to attend conferences to learn more from colleagues, networks, and more to better your skillset.
The Values That We Hope You Share:
- We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work.
- We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress.
- We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover.
- Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking.
- We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team.
Recursion spends time and energy connecting every aspect of work to these values. They aren’t static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work.
More About Recursion
Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area.
Lead Data Scientist, Scalable Bio-Discovery Workflows in London employer: Recursion Pharmaceuticals
Recursion is an exceptional employer that fosters a collaborative and innovative work culture, where data scientists play a pivotal role in revolutionising drug discovery. Located in Salt Lake City, employees benefit from a supportive onboarding process, continuous learning opportunities through tech talks and conferences, and a strong commitment to the company's core values of care, learning, and bold integrity. With a focus on impactful work and high expectations for delivery, Recursion empowers its team members to make meaningful contributions in a fast-paced, interdisciplinary environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist, Scalable Bio-Discovery Workflows in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to biosciences and data science. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to the role. Think about how your experience aligns with Recursion's mission and values.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Lead Data Scientist, Scalable Bio-Discovery Workflows in London
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've applied your skills in real-world scenarios, especially in biosciences or interdisciplinary projects. We want to see your excitement for making an impact!
Tailor Your Application:Make sure to customise your application to highlight the experiences and skills that align with our mission at Recursion. Mention your familiarity with the Python data stack and any relevant projects you've worked on. This helps us see how you fit into our team!
Communicate Clearly:We value clear communication, so ensure your application is well-structured and easy to read. Avoid jargon where possible and explain complex concepts simply. This shows us you can effectively communicate with diverse audiences, which is key in our collaborative environment.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our values and culture while you're at it!
How to prepare for a job interview at Recursion Pharmaceuticals
✨Know Your Data Science Stuff
Make sure you brush up on your probability, statistics, and machine learning skills. Be ready to discuss how you've applied these concepts to real-world datasets, especially in biosciences or pharmaceuticals. Prepare examples that showcase your experience in cross-disciplinary collaboration.
✨Show Off Your Python Skills
Since the role requires high fluency with the Python data stack, be prepared to demonstrate your expertise with tools like numpy, pandas, and scikit-learn. You might even want to bring a small project or code snippet to discuss during the interview to highlight your coding abilities.
✨Communicate Like a Pro
You’ll need to explain complex concepts to diverse audiences, so practice articulating your thoughts clearly. Think about how you can simplify technical jargon and make it relatable. Consider preparing a few scenarios where you successfully communicated complex ideas in past projects.
✨Embrace the Company Values
Familiarise yourself with Recursion's values: We Care, We Learn, We Deliver, Act Boldly with Integrity, and We are One Recursion. Be ready to share how your personal values align with theirs and provide examples of how you've embodied these principles in your work.